Comparisons Between Cancer-Related and Noncancer-Related Lymphedema: An Overview of New Patients Referred to a Specialized Hospital-Based Center in Canada
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Lymphedema is an irreversible inflammatory condition caused by accumulated lymph fluid and is associated with chronic swelling and increased risk of cellulitis. Our objectives were to: (1) describe the patient population referred to a Canadian lymphedema center and (2) compare lymphedema characteristics between patients with cancer and patients with noncancer diagnoses. METHODS AND RESULTS: A retrospective cohort study was conducted of new patients referred for suspected lymphedema to a hospital-based center over a 2-year period. The mean age of the patients (n = 429) was 61.4 years; 85% were female and 81% had a history of cancer. Lymphedema characteristics were primary (7%) versus secondary (92%); upper body (51%) versus lower body (45%); unilateral (74%) versus bilateral (25%); and history of cellulitis (22%). Patients with noncancer diagnoses (n = 82) were more likely than patients with cancer diagnoses (n = 347) to have a history of cellulitis (44% vs. 17%), to have bilateral (61% vs. 16%) and lower limb (89% vs. 37%) lymphedema, and to experience a long delay between symptom onset and referral (14.0 vs. 3.5 years) (p < 0.001). CONCLUSION: Most patients referred to our lymphedema center were female with a history of cancer. However, patients with noncancer diagnoses were more likely to have bilateral lower body lymphedema with an important history of cellulitis; this subgroup is at great risk of missed and delayed diagnoses in the medical setting and of experiencing long-term issues with mobility, recurrent hospitalizations, and poor quality of life.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it